Deep Learning Engineer

Job Responsibilities:

• Work together with cross-functional teams to specify the project's needs and outputs
• Analyze and assess the effectiveness of deep learning algorithms and models
• Design and create a whole deep learning pipeline (data gathering, pre-processing, training, validation, and deployment) for analysis of images and videos in real-time
• Utilize and improve models on Edge devices with constrained computational power

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science, or Electric Engineering (or equivalent experience)
• At least 3+ years of relevant experience as a Deep Learning Engineer
• 3+ years of expertise in building multi-task perception models based on deep learning at the production level.
• Skilled in cross-attention, GAN, and advanced deep learning architectures such as the Voxel/BEV grid-based feature
• Basic knowledge of multiview geometry, traditional computer vision, and 3D computer vision
• 3+ years experience working on deploying models on Edge devices and limited computational resources (Nvidia Jetson or other similar)
• Strong proficiency in C++ (for model deployment, re-simulation, pre/post-processing) 
• Demonstrable experience with Python, TensorFlow, PyTorch, and other deep-learning frameworks
• Nice to have some familiarity with Sensor Fusion, Localization, ROS, and 3D reconstruction or overall working in Robotics perception applications or Automated driving systems
• Knowledge of software versioning, tracking, and documenting tools (Jira)
• Prolific experience working with Computer Vision
• Familiarity with DevOps and Docker is desirable
• Nice to have experience working with Python and Machine Learning
• Excellent spoken and written English communication skills